Aixin Sun

HSpam14

2015

Hashtag facilitates information diffusion in Twitter by creating dynamic and virtual communities for information aggregation from all Twitter users. Because hashtags serve as additional channels for one's tweets to be potentially accessed by other users …

NeuRec: On Nonlinear Transformation for Personalized Ranking

2018

Modeling user-item interaction patterns is an important task for personalized recommendations. Many recommender systems are based on the assumption that there exists a linear relationship between users and items while neglecting the intricacy and non-linearity …

A Survey on Deep Learning for Named Entity Recognition : Extended Abstract

2023

Named entity recognition (NER) is the task to identify text spans that mention named entities, and to classify them into predefined categories such as person, location, organization, etc. In recent years, deep learning, empowered by …

Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval Bias

2024

Short-video recommender systems often exhibit a biased preference to recently released videos. However, not all videos become outdated; certain classic videos can still attract user’s attention. Such bias along temporal dimension can be further aggravated …

Effective Document Labeling with Very Few Seed Words

2016

Developing text classifiers often requires a large number of labeled documents as training examples. However, manually labeling documents is costly and time-consuming. Recently, a few methods have been proposed to label documents by using a …

Deep Learning based Recommender System: A Survey and New Perspectives

2017 · arXiv (Cornell University)

With the ever-growing volume of online information, recommender systems have been an effective strategy to overcome such information overload. The utility of recommender systems cannot be overstated, given its widespread adoption in many web applications, …

SegBot: A Generic Neural Text Segmentation Model with Pointer Network

2018

Text segmentation is a fundamental task in natural language processing that comes in two levels of granularity: (i) segmenting a document into a sequence of topical segments (topic segmentation), and (ii) segmenting a sentence into …

A Survey on Deep Learning for Named Entity Recognition

2020 · IEEE Transactions on Knowledge and Data Engineering

Named entity recognition (NER) is the task to identify mentions of rigid designators from text belonging to predefined semantic types such as person, location, organization etc. NER always serves as the foundation for many natural …

CATN

2020

In a large recommender system, the products (or items) could be in many different categories or domains. Given two relevant domains (e.g., Book and Movie), users may have interactions with items in one domain but …

Deep Learning Based Recommender System

2019 · ACM Computing Surveys

With the growing volume of online information, recommender systems have been an effective strategy to overcome information overload. The utility of recommender systems cannot be overstated, given their widespread adoption in many web applications, along …